Category: 7. Maths

This section starts with a conceptual overview of the proposed method, provided in Fig. 2. We then explain each module in detail and its end-to-end training pipeline.

Problem formulation

We denote vectors and matrices in bold lower-case x and bold…

Generalized Kudryashov Method-1

We have particular form of solution:

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In this section, we propose an incentive mechanism algorithm for the training process. The incentive mechanism includes three parts: the participant screening mechanism, the contribution valuation mechanism, and the two-stage Stackelberg game…

Opting methodology appertains to the objective and essence of the research subject and its implementation facilities. Thus, the methodology of a research can be selected when its subject essence, objectives, and broadness are identified. In this…

In conventional viewpoint, each material has specific elastic properties almost independent of the sample size. However, experimental and theoretical studies demonstrated size dependency in nano scale. In this regard, square nanoplates with…

Global Channel-Spatial attention

In traditional Convolutional Neural Networks (CNNs), the relationships between channels are often overlooked, despite their critical importance in capturing global information. Neglecting these inter-channel…

Experiments

The experiments were conducted by applying optimisations to the network’s attention modules. In particular, each technique was observed on different parts of the models, analysing the impact on evaluation metrics and inference speed…